iPhone 15
Geekbench AI Score
3278
Single Precision Score
23635
Half Precision Score
27259
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 11:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
10194
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
12918
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15695
254.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19605
317.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6040
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
95384
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105117
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
100% |
12720
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
15012
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
31690
376.5 IPS |
|
|
Face Detection (Q)
|
100% |
39873
473.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5725
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75372
580.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
95891
749.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13215
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
178623
229.6 IPS |
|
|
Style Transfer (Q)
|
96% |
181340
234.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32321
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37455
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2589
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2600
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7849
135.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8397
145.1 IPS |
